@article{ref1,
title="Mortality following workplace injury: quantitative bias analysis",
journal="Annals of epidemiology",
year="2021",
author="Busey, Andrew and Asfaw, Abay and Applebaum, Katie M. and Leary, Paul K. O' and Tripodis, Yorghos and Fox, Matthew P. and Stokes, Andrew C. and Boden, Leslie I.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="PURPOSE: Recent studies have shown increased all-cause mortality among workers following disabling workplace injury. These studies did not account for two potentially important confounders, smoking and obesity. We estimated injury-related mortality accounting for these factors. <br><br>METHODS: We followed workers receiving New Mexico workers' compensation benefits (1994-2000) through 2013. Using data from the Panel Study of Income Dynamics, we derived the joint distribution of smoking status and obesity for workers with and without lost-time injuries. We conducted a quantitative bias analysis (QBA) to determine the adjusted relationship of injury and mortality. <br><br>RESULTS: We observed hazard ratios after adjusting for smoking and obesity of 1.13 for women (95% simulation interval (SI) 0.97 to 1.31) and 1.12 for men (95% SI 1.00 to 1.27). The estimated fully adjusted excess hazard was about half the estimates not adjusted for these factors. <br><br>CONCLUSIONS: Using QBA to adjust for smoking and obesity reduced the estimated mortality hazard from lost-time injuries and widened the simulation interval. The adjusted estimate still showed more than a 10 percent increase for both women and men, although the 95% SI for women included 1.0. The change in estimates reveals the importance of accounting for these confounders. Of course, the results depend on the methods and assumptions used.<p /> <p>Language: en</p>",
language="en",
issn="1047-2797",
doi="10.1016/j.annepidem.2021.09.015",
url="http://dx.doi.org/10.1016/j.annepidem.2021.09.015"
}